Joppe-T

Joppe-T — CS2 Stats

76561198045185666[U:1:84919938]Steam profile ↗✓ No bans

3,490Tracked matches45%Win rate2020Tracked since
CSDB Rating4.9 DevelopingSupport
Premier CS Rating26,630Top 5% of 213,211 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)
CSDB Leaderboard#8760 of 259891 tracked
FaceitLevel 7 · 1,740 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 26,630 +1,631 10 Sept – 3 Nov · 28 days played
24,89626,903peak 26,90310 Sept3 Nov
Faceit ELO: 1,740 +0 10 Sept – 26 Oct · 6 observations
1,7401,740peak 1,74010 Sept26 Oct
27,184Peak Premier in tracked matches
1,740Highest Faceit ELO seen on CSDB
27Days played since 2026-09-10

Faceit ELO

  • At peak — 1,740
  • 0 over 30 days · steady
  • Next: Level 9 at 1,751 — 11 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-10
  • Level 7 first seen 2026-09-10

Premier CS Rating

  • 273 below peak (26,903)
  • +1,653 over 30 days · improving
  • Next: Gold band at 30,000 — 3,370 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-14
  • Pink band first seen 2026-09-10

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGJoppe-TFACEITLevel 7 · 1,740 ELOSTANDINGTop 42.3% of rankedPREMIER26,630 · Red band30 DAYS0 ELOPEAK ELO1,740csdb.gg/stats

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Performance scores

Aim47
Positioning52
Utility78

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateLWLLWLWWWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −2.3pp headshot accuracy · −52ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 8%
  • Avg reaction 617ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 562ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 588ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+3.6 against its own average).

Aim4.7
Utility7.8
Positioning5.2
Opening Duels1.0
Clutch3.0

Strong CT-side openerHigh utility contribution

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

b1t

Plays most like b1t 54% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 44% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim4.7
Positioning5.2
Utility7.8
Mechanics3.3
Opening Duels1.8
Win Impact3.3

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time585ms+17ms
first ⅓ avg 568ms → last ⅓ avg 585ms
Headshot accuracy11.5%−6.0%
first ⅓ avg 17.5% → last ⅓ avg 11.5%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.18Best match rating · 13–4 · nuke, 22 Oct →
100%Best headshot accuracy · 1–1 · inferno, 21 Oct →
344msFastest reaction time · 13–1 · ancient, 20 Oct →
13–1Biggest win · inferno, 3 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 86% over 14dust2Weakest map · 18% over 17
MapGradePlayedRecordWin rateAvg rating
infernoA1911–858%0.01
mirageC188–1044%-0.02
dust2D173–1418%-0.01
nukeS1412–286%0.00
anubisC104–640%0.01
cacheS97–278%-0.02
ancientD82–625%-0.01
overpass—22–0100%-0.00
debris—21–150%0.02
vertigo—11–0100%0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

876Matches
54%Win rate
0.92Avg K/D
69.8ADR
38%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
14Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno8664%0.9513.0
Nuke5969%0.9112.1
Ancient3644%0.8713.1
Anubis3447%0.8911.7
Overpass2560%1.0913.1
Dust21856%0.9515.3
Train1644%0.8713.7
Vertigo633%0.588.2

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.8%Headshot accuracy
34.1%Accuracy (enemy spotted)
42.4%Spray accuracy
64.8%Counter-strafing
12.1°Preaim
578msReaction time
26.4%T opening success
44.3%CT opening success
0.69Enemies flashed / flash
6.3%Flash assists
13.28HE damage / grenade
21.76Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0771° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.8371% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

18% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage0–13-0.033%4 Nov →
inferno13–10.0411%3 Nov →
inferno6–130.0119%3 Nov →
dust21–13-0.090%3 Nov →
cache13–8-0.0810%3 Nov →
dust29–13-0.0116%3 Nov →
inferno13–90.0713%3 Nov →
anubis13–6-0.0211%2 Nov →
overpass13–11-0.024%2 Nov →
ancient10–13-0.0110%1 Nov →
ancient13–8-0.0211%1 Nov →
dust22–13-0.007%1 Nov →
dust28–13-0.0811%1 Nov →
inferno13–90.0215%1 Nov →
dust23–13-0.0910%1 Nov →
inferno11–130.0023%30 Oct →
anubis15–15-0.039%30 Oct →
inferno13–70.0212%30 Oct →
dust29–13-0.029%30 Oct →
inferno3–13-0.0813%28 Oct →
mirage6–130.0011%28 Oct →
mirage13–20.0118%28 Oct →
cache13–11-0.0610%26 Oct →
mirage9–130.0115%25 Oct →
dust26–13-0.0217%25 Oct →
inferno13–80.0410%25 Oct →
ancient7–13-0.0514%23 Oct →
mirage9–13-0.079%23 Oct →
anubis13–100.0910%23 Oct →
inferno13–110.0422%23 Oct →
inferno13–60.0412%23 Oct →
anubis10–13-0.032%23 Oct →
dust213–60.1216%23 Oct →
nuke13–70.0138%23 Oct →
mirage13–7-0.0310%22 Oct →
nuke13–40.1814%22 Oct →
anubis13–40.0514%22 Oct →
dust28–130.0418%22 Oct →
anubis14–16-0.0011%22 Oct →
ancient11–130.0019%22 Oct →
nuke13–6-0.0315%21 Oct →
inferno13–30.004%21 Oct →
inferno1–10.03100%21 Oct →
anubis5–130.0210%21 Oct →
nuke13–80.0315%21 Oct →
mirage10–13-0.0332%21 Oct →
ancient13–1-0.0212%20 Oct →
mirage13–30.037%20 Oct →
anubis11–13-0.0112%20 Oct →
inferno13–10.0815%19 Oct →
mirage16–14-0.0510%19 Oct →
mirage13–8-0.0815%19 Oct →
vertigo9–30.0813%19 Oct →
inferno13–70.0311%18 Oct →
dust216–14-0.0313%18 Oct →
cache7–13-0.075%18 Oct →
nuke16–14-0.0312%18 Oct →
nuke13–10-0.0113%15 Oct →
mirage6–13-0.0221%15 Oct →
ancient7–13-0.0317%15 Oct →
mirage13–90.0313%13 Oct →
debris9–60.017%13 Oct →
dust29–13-0.0312%12 Oct →
mirage6–13-0.0615%12 Oct →
mirage13–4-0.042%12 Oct →
ancient9–130.0413%12 Oct →
inferno4–13-0.068%12 Oct →
nuke1–13-0.0429%11 Oct →
cache13–100.0321%11 Oct →
overpass13–100.0111%9 Oct →
nuke8–13-0.0520%9 Oct →
inferno13–70.0216%9 Oct →
mirage13–10.0722%8 Oct →
inferno9–13-0.0018%8 Oct →
debris7–90.0419%8 Oct →
cache13–40.0316%7 Oct →
anubis11–13-0.0315%7 Oct →
nuke13–7-0.0310%7 Oct →
dust213–70.0820%6 Oct →
nuke13–10-0.0512%6 Oct →
mirage5–13-0.1015%5 Oct →
cache13–6-0.0310%5 Oct →
ancient11–13-0.0215%5 Oct →
nuke13–6-0.0320%5 Oct →
mirage4–5-0.0614%4 Oct →
dust215–15-0.0545%4 Oct →
dust28–130.028%4 Oct →
nuke13–40.0727%4 Oct →
nuke13–100.0223%3 Oct →
dust215–15-0.0016%3 Oct →
cache10–13-0.0318%3 Oct →
cache13–4-0.0619%2 Oct →
dust210–13-0.0315%2 Oct →
mirage9–13-0.0313%2 Oct →
anubis13–60.1110%2 Oct →
dust27–13-0.0414%2 Oct →
nuke13–30.0218%2 Oct →
inferno2–5-0.070%1 Oct →
inferno3–6-0.0530%1 Oct →
cache13–30.1018%1 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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